Building Multi-Model AI Applications: Why One Model Won't Be Enough
If you ask most developers what model powers their AI application, you'll usually get one answer.
"We're using GPT-4o."
Or Claude.
Or Gemini.
Building Multi-Model AI Applications: Why One Model Won't Be Enough If you ask most...
Production AI systems shift to multi-model orchestration—simple requests to cheap models, complex to premium—making workflow design the competitive advantage. Applications treat models as interchangeable blocks; value moves from model choice to orchestration, similar to microservices.
Building Multi-Model AI Applications: Why One Model Won't Be Enough
If you ask most developers what model powers their AI application, you'll usually get one answer.
"We're using GPT-4o."
Or Claude.
Or Gemini.

Everyone is searching for the best AI model. Should we use GPT? Claude? Gemini? Local models? But...

Designing AI Systems That Outlive Today's Models If there's one lesson this series has...

Multi-model AI applications need more than access to many models. They need visibility. A product...

There is a persistent myth that to build a worthy code assistant, you absolutely must use GPT or...

When I first started building AI applications, I believed everything depended on choosing the best...

Most AI applications start simple. A developer chooses one model provider, gets an API key, connects...